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Probabilistic graphical models : principles and techniques

By: Koller, Daphne.
Contributor(s): Friedman, Nir.
Material type: materialTypeLabelBookSeries: Adaptive computation and machine learning.Publisher: Cambridge, MA : MIT Press, c2009Description: xxi, 1231 p. : ill. ; 24 cm.ISBN: 9780262013192.Subject(s): Graphical modeling (Statistics) | Bayesian statistical decision theory -- Graphic methods
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Item type Current location Collection Call number Status Date due Barcode Item holds Course reserves
Reference Reference IIITD
Mathematics REF 519.542 KOL-P (Browse shelf) Not For Loan 001131

Probabilistic Graphical Models Winter

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REF 519.542 CAR-B Bayesian methods for data analysis REF 519.542 DAR-M Modeling and reasoning with Bayesian networks REF 519.542 GEL-B Bayesian data analysis REF 519.542 KOL-P Probabilistic graphical models : REF 519.542 SIL-S The signal and the noise : REF 519.6 AND-I Introduction to continuous optimization REF 519.6 BIE-O Optimization :

Includes bibliographical references (p. [1171]-1207) and indexes.

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